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Zināšanu bibliotēka

Stratmill pētniecības aģenta sagatavoti kopsavilkumi un galvenās atziņas par grāmatām, pētījumiem, rakstiem un kodu, ko lasa mūsu MI aģenti. Katrā lapā ir saite uz oriģinālu.

Quant Q&A
Dokumentu skaits: 20,364
SuperMind
Dokumentu skaits: 12,226
OKX Learn
Dokumentu skaits: 8,431
Strategy library
Dokumentu skaits: 7,910
MQL5 code base
Dokumentu skaits: 7,090
BigQuant
Dokumentu skaits: 3,481
Bitget Academy
Dokumentu skaits: 3,298
MQL5 articles
Dokumentu skaits: 3,012
TradingView scripts
Dokumentu skaits: 1,976
ProRealCode
Dokumentu skaits: 1,507
Deribit Insights
Dokumentu skaits: 1,232
Machine Learning for Trading
Dokumentu skaits: 1,124
arXiv papers
Dokumentu skaits: 1,033
Amberdata research
Dokumentu skaits: 766
FMZ forum
Dokumentu skaits: 682
FMZ digest
Dokumentu skaits: 662
vn.py community
Dokumentu skaits: 560
QuantInsti blog
Dokumentu skaits: 511
Galaxy Research
Dokumentu skaits: 340
QuantStart
Dokumentu skaits: 246
Stratmill research code
Dokumentu skaits: 219
Robot Wealth
Dokumentu skaits: 195
NautilusTrader
Dokumentu skaits: 191
Hummingbot docs
Dokumentu skaits: 181
Paradigm research
Dokumentu skaits: 175
Lumibot
Dokumentu skaits: 164
Kraken Learn
Dokumentu skaits: 163
Kvantitatīvās tirdzniecības kursu bibliotēka
Dokumentu skaits: 157
OctoBot
Dokumentu skaits: 152
Cryptohopper blog
Dokumentu skaits: 144
Systematic trading blog (Rob Carver)
Dokumentu skaits: 132
Qlib
Dokumentu skaits: 116
TqSdk
Dokumentu skaits: 86
Quantpedia
Dokumentu skaits: 86
Hyperliquid docs
Dokumentu skaits: 79
Freqtrade
Dokumentu skaits: 68
Hudson & Thames
Dokumentu skaits: 62
Awesome Systematic Trading
Dokumentu skaits: 61
backtrader
Dokumentu skaits: 54
vn.py
Dokumentu skaits: 50
Binance API docs
Dokumentu skaits: 45
Quantopian lekcijas
Dokumentu skaits: 45
FMZ guides
Dokumentu skaits: 38
pysystemtrade
Dokumentu skaits: 34
Freqtrade docs
Dokumentu skaits: 32
quant-trading
Dokumentu skaits: 31
FinRL
Dokumentu skaits: 28
Zipline
Dokumentu skaits: 22
FMZ live strategies
Dokumentu skaits: 21
Jesse
Dokumentu skaits: 17
pyfolio
Dokumentu skaits: 16
Alphalens
Dokumentu skaits: 14
WonderTrader
Dokumentu skaits: 14
backtesting.py
Dokumentu skaits: 11
Technical Analysis
Dokumentu skaits: 9
QTPyLib
Dokumentu skaits: 8
QuantRocket
Dokumentu skaits: 7
Lumibot strategies
Dokumentu skaits: 7
Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 12,226

SuperMind

The document outlines a daily screening idea for Chinese stocks associated with the metaverse theme. It selects stocks with a newly bullish KDJ crossover, ranks candidates by individual stock popularity, and proposes choosing the more popular names.…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document describes an A-share stock screen combining daily price range, a closing price of 18.5 yuan, and a recent high. Its proposed expanded version adds a five-day high condition, a bullish MACD crossover, and an overbought KDJ reading. The…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock-selection example combines three filters: daily amplitude above 1%, a K-line indicator below 20, and floating market capitalization above 10 billion yuan. The article frames amplitude as a measure of price movement, the K threshold as a…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This stock screen targets companies classified in the metaverse industry. It looks for an opening price near the 10-day moving average and an intraday maximum decline of roughly 4% to 5%. The article presents the setup as a way to find stocks that have…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This report presents machine learning as a data-driven approach and distinguishes supervised learning, which maps labeled inputs to outputs, from unsupervised learning, which seeks structure in unlabeled data, and reinforcement learning, which learns actions…

MašīnmācīšanāsStatistikaVēsturisko datu pārbaudeĶīnas tirgi
SuperMind

This stock-selection proposal focuses on Chinese companies classified in the metaverse sector. It requires the prior day's price to be above the 250-day moving average and at least five moving averages to converge. The indicator reference names averages over…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese stock screen seeks companies with price amplitude above 1, market capitalization below 10 billion yuan, positive net profit, and more than two limit-up sessions within ten days. The article's final version adds another valuation filter:…

AkcijasĶīnas tirgiCenas impulssSvārstīgums
SuperMind

This Chinese stock-selection idea combines amplitude above 1 with a rounded price shape and a rising base. The accompanying indicator formula approximates the pattern using recent highs and lows, the close's position within the daily range, and volume…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

This Chinese A-share screening proposal combines a volatility condition with two size filters: amplitude above 1, circulating market capitalization above 10 billion yuan, and enterprise scale above 200 million yuan. The accompanying indicator reference…

AkcijasĶīnas tirgiSvārstīgumsFaktoru ieguldīšana
SuperMind

This article describes a short-term stock-selection idea based on two conditions: more than two limit-up days within ten days and a named morning-star signal associated with a specific stock. It characterizes the signal as a measure of price strength and…

AkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese-language article proposes a short-term stock screen combining three conditions: daily price range above one, the 9:25 price gain below six percent, and a shortening green histogram on a 15-minute MACD. It presents the combination as a way to…

AkcijasTehniskie indikatoriCenas impulss
SuperMind

The document describes a Chinese A-share screening rule that combines daily price range, market capitalization, profitability, and ownership concentration. It first presents a range threshold of at least 1%, a market value below 10 billion yuan, positive net…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
SuperMind

This Chinese-language post outlines an A-share stock screen for the metaverse theme. Its initial conditions select stocks with prior-day turnover above 8% and exclude stocks that closed at the daily limit. The final version adds a market-cap filter selecting…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This research summary examines whether excluding stocks ranked poorly by high-frequency factors can improve a Shanghai-Shenzhen 300 index-enhancement portfolio. It compares three construction methods: combine standardized factors into one score, use a…

Ķīnas tirgiAkcijasAugstas frekvences tirdzniecībaFaktoru ieguldīšana
SuperMind

This note describes a Chinese A-share screen that combines daily price range with recent and longer-term limit-up frequency. It selects stocks with a range above the stated threshold, more than two limit-up days within ten days, and at least two limit-up…

AkcijasCenas impulssTehniskie indikatoriRiska pārvaldība
SuperMind

This stock screen combines a turnover range of 3% to 12%, a rising DEA condition, and a profitability filter based on ROE. The initial description requires ROE above 15% for five consecutive years, while the proposed final screen and formula retain that…

AkcijasTehniskie indikatoriCenas impulssFaktoru ieguldīšana
SuperMind

This stock-screening proposal ranks shares by capital activity, looks for a newly formed KDJ golden cross, and requires 2021 revenue to exceed 2018 revenue by a stated ratio threshold. It presents turnover and trading volume as proxies for investor…

AkcijasTehniskie indikatoriCenas impulssFaktoru ieguldīšana
SuperMind

This document describes a short-term Chinese equity screen combining three conditions: price amplitude above a threshold, appearance on the prior day’s trading activity list, and a morning-star candlestick signal. It presents the idea that elevated movement…

AkcijasTehniskie indikatoriSvārstīgumsRiska pārvaldība
SuperMind

The document proposes screening Chinese equities for daily amplitude above 1%, weekly MACD above zero, association with the robotics theme, and circulating market value below 10 billion yuan. It presents amplitude and MACD as measures of price movement and…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

The document describes a Chinese equity screening rule that combines turnover between 3% and 12%, seven consecutive days of price declines, and circulating market value between 5 billion and 10 billion yuan. It frames the decline streak as a possible…

AkcijasAtgriešanās pie vidējās vērtībasĶīnas tirgiRiska pārvaldība
SuperMind

The document presents a Chinese equities screening rule using turnover, circulating share count, circulating market value, and the early-session price move. Its stated final criteria require turnover no greater than 12%, circulating market value above 100…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaTehniskie indikatori
SuperMind

The document describes a simple momentum test on constituents of China’s Growth Enterprise Market index. It buys a stock at the next day’s open after a limit-up day, with parameters that can be changed to study different indices and holding periods. The…

Ķīnas tirgiAkcijasCenas impulssVēsturisko datu pārbaude
SuperMind

This Chinese-language post describes screening stocks in the Metaverse category using turnover and recent price movement. Its initial rule combines yesterday’s turnover above 8% with a prior-day actual-turnover range from 3% to 28%. The post later revises…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese-language post outlines an A-share stock screen combining three conditions: a 20-day moving average above the 120-day average, RSI below 65, and at least two limit-up sessions within the preceding 500 days. The stated rationale is to combine a…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss